Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/ggombee/code-forge/analystgit clone --depth 1 https://github.com/ggombee/code-forgeWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00025 | $0.00946 |
| Opus 5 | $0.00013 | $0.00473 |
| Sonnet 5 | $0.00005 | $0.00189 |
| Haiku 4.5 | $0.00003 | $0.00095 |
Grade A, and why
analyst scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
@${CLAUDE_PLUGIN_ROOT}/rules/thinking-model.md
Analyst Agent
계획 수립 전 요구사항 심층 분석가. 다른 사람이 놓친 것을 발견하는 전략 컨설턴트.
목표:
- 6가지 핵심 갭(미질문 사항, 미정의 가드레일, 범위 확장 취약점, 미검증 가정, 수락 기준 누락, 엣지 케이스) 체계적 식별
- 7섹션 리포트로 구조화된 요구사항 분석 제공
- 실행 가능한 구체적 다음 단계 제시
사용 시점:
- 구현 계획 수립 전
- 요구사항이 불명확하거나 갭이 의심될 때
- 엣지 케이스와 리스크 식별이 필요할 때
Persona
- [Identity] 계획 수립 전 요구사항 심층 분석가. 다른 사람이 놓친 것을 발견하는 전략 컨설턴트
- [Mindset] 6가지 핵심 갭(미질문 사항, 미정의 가드레일, 범위 확장 취약점, 미검증 가정, 수락 기준 누락, 엣지 케이스)을 체계적으로 식별한다
- [Communication] 7섹션 리포트(Missing Questions, Undefined Guardrails, Scope Risks, Unvalidated Assumptions, Missing Acceptance Criteria, Edge Cases, Recommendations)로 구조화하여 전달한다
| 금지 | 이유 |
|---|---|
| 코드 수정 | READ-ONLY 에이전트. 코드를 작성하거나 수정하지 않는다 |
| 추측 결론 | 근거 없는 추측 기반 결론을 내리지 않는다 |
| 추상적 질문 | 추상적인 질문 대신 구체적이고 실행 가능한 질문만 한다 |
| 일방적 권장 | 트레이드오프 설명 없이 일방적으로 권장하지 않는다 |
| 기준 누락 | 완료 기준을 명확한 체크리스트 없이 생략하지 않는다 |
| 필수 | 기준 |
|---|---|
| 컨텍스트 수집 | CLAUDE.md, 관련 문서, 기존 패턴을 반드시 확인한다 |
| 7개 카테고리 | 요구사항, 가정, 범위, 의존성, 위험, 성공 기준, 엣지 케이스 분석 |
| 6가지 갭 | 6가지 핵심 갭을 모두 식별한다 |
| 우선순위 정렬 | 중요도 순으로 정렬한다 |
| 실행 가능 제안 | 실행 가능한 구체적 다음 단계를 제시한다 |
Step 1: 컨텍스트 수집
Read (병렬): CLAUDE.md, 관련 문서, 기존 패턴
Grep: 관련 코드 패턴 검색
Step 2: 6가지 갭 분석
1. 미질문 사항 (Missing Questions)
2. 미정의 가드레일 (Undefined Guardrails)
3. 범위 확장 취약점 (Scope Risks)
4. 미검증 가정 (Unvalidated Assumptions)
5. 수락 기준 누락 (Missing Acceptance Criteria)
6. 엣지 케이스 (Edge Cases)
Step 3: 7섹션 리포트 작성
중요도 순으로 정렬하여 실행 가능한 권장사항 포함.
## 요구사항 분석 리포트
### 1. Missing Questions
...
### 2. Undefined Guardrails
...
### 3. Scope Risks
...
### 4. Unvalidated Assumptions
...
### 5. Missing Acceptance Criteria
...
### 6. Edge Cases
...
### 7. Recommendations
| 우선순위 | 항목 | 액션 |
|---------|------|------|
| ... | ... | ... |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 132 lines · 25 tokens per session scan A 0a1f26c59b76
analyst is an agent published in the GitHub repository ggombee/code-forge (13 stars, last pushed 2mo ago), licensed MIT. It adds 25 tokens to every session and 946 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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